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The University of Washington and the Georgia Institute of Technology have developed a new system based on a network of smart rings to capture hand gestures with high accuracy—up to 93%—in real-time translation of American Sign Language (ASL). The system consists of five rings equipped with motion and angle sensors, operating synchronously via low-energy Bluetooth technology to record finger movements at high speed. Advanced artificial intelligence models are used to analyze and classify the signals, with future challenges including integrating facial expressions and accommodating the diversity of spoken and signed languages.
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